Correlation Between Alger Concentrated and Alger Funds
Can any of the company-specific risk be diversified away by investing in both Alger Concentrated and Alger Funds at the same time? Although using a correlation coefficient on its own may not help to predict future stock returns, this module helps to understand the diversifiable risk of combining Alger Concentrated and Alger Funds into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Alger Concentrated Equity and Alger Funds Mid, you can compare the effects of market volatilities on Alger Concentrated and Alger Funds and check how they will diversify away market risk if combined in the same portfolio for a given time horizon. You can also utilize pair trading strategies of matching a long position in Alger Concentrated with a short position of Alger Funds. Check out your portfolio center. Please also check ongoing floating volatility patterns of Alger Concentrated and Alger Funds.
Diversification Opportunities for Alger Concentrated and Alger Funds
0.98 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between Alger and Alger is 0.98. Overlapping area represents the amount of risk that can be diversified away by holding Alger Concentrated Equity and Alger Funds Mid in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Alger Funds Mid and Alger Concentrated is a relative statistical measure of the degree to which these equity instruments tend to move together. The correlation coefficient measures the extent to which returns on Alger Concentrated Equity are associated (or correlated) with Alger Funds. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Alger Funds Mid has no effect on the direction of Alger Concentrated i.e., Alger Concentrated and Alger Funds go up and down completely randomly.
Pair Corralation between Alger Concentrated and Alger Funds
Assuming the 90 days horizon Alger Concentrated Equity is expected to generate 1.06 times more return on investment than Alger Funds. However, Alger Concentrated is 1.06 times more volatile than Alger Funds Mid. It trades about -0.07 of its potential returns per unit of risk. Alger Funds Mid is currently generating about -0.08 per unit of risk. If you would invest 1,318 in Alger Concentrated Equity on December 28, 2024 and sell it today you would lose (137.00) from holding Alger Concentrated Equity or give up 10.39% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Alger Concentrated Equity vs. Alger Funds Mid
Performance |
Timeline |
Alger Concentrated Equity |
Alger Funds Mid |
Alger Concentrated and Alger Funds Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Alger Concentrated and Alger Funds
The main advantage of trading using opposite Alger Concentrated and Alger Funds positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Alger Concentrated position performs unexpectedly, Alger Funds can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Alger Funds will offset losses from the drop in Alger Funds' long position.Alger Concentrated vs. Federated Municipal Ultrashort | Alger Concentrated vs. Materials Portfolio Fidelity | Alger Concentrated vs. Scharf Global Opportunity | Alger Concentrated vs. Barings Emerging Markets |
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Check out your portfolio center.Note that this page's information should be used as a complementary analysis to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Portfolio Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
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